| 非瞬时或突变的马尔可夫链的一种应用方法 |
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| 引用本文： | 张朝阳,陈同英.非瞬时或突变的马尔可夫链的一种应用方法[J].福建农林大学学报(自然科学版),2006,35(4):440-444. |
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| 作者姓名： | 张朝阳 陈同英 |
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| 作者单位： | 福建农林大学计算机与信息学院,福建,福州,350002 |
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| 摘 要： | 介绍对于一种非瞬时或突变的状态转移过程.采用Bayes方法修订马尔可夫过程的状态转移概率矩阵;将先验概率分布修订为后验概率分布;对整个过程的信息加以吸收,得出能够反映整个过程的状态转移概率矩阵,从而达到预测目的.由此还得出一个重要结论:吸收信息的无序性.
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| 关 键 词： | 马尔可夫链 Bayes公式 状态转移概率矩阵 吸收信息的无序性 |
| 文章编号： | 1671-5470(2006)04-0440-05 |
| 收稿时间： | 2005-06-28 |
| 修稿时间： | 2006-02-14 |
An application method of non-transient or mutation Markov chain |
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| ZHANG Chao-yang,CHEN Tong-ying.An application method of non-transient or mutation Markov chain[J].Journal of Fujian Agricultural and Forestry University,2006,35(4):440-444. |
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| Authors: | ZHANG Chao-yang CHEN Tong-ying |
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| Institution: | College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou , Fujian 350002, China |
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| Abstract: | A kind of non-transient or mutation state transition process was introduced.By means of Bayes formula,state transition probablity matrix of Markov process was revised,and prior probablity distribution was modified into posterior probablity distribution.By absorbing the information of the whole process,state transition probablity matrix to reflect the whole process was obtained,therefore,the purpose expected was achieved.It was concluded that it had the property of information absorption disorder. |
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| Keywords: | Markov chain Bayes formula state transition probablity matrix disorder of information absorption |
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